Scilab for Data Mining

Python for Machine and Deep Learning

Scilab Courses

Scilab is an open source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal and image processing, statistical analysis, Internet of Things, data mining, etc. In Trity Technologies we have developed more than 20 courses based on Scilab since last few years.

Raspberry Pi Courses

The Raspberry Pi is a series of credit card–sized single-board computers developed in the United Kingdom by the Raspberry Pi Foundation with the intent to promote the teaching of basic computer science in schools and developing countries. Our very first Raspberry Pi Training is the aplication in IoT, and we are extending the training into other fields from time to time.

E4Coder - Automatic Code Generation

E4Coder is a set of tools that can be used to simulate control algorithms and to generate code for embedded microcontrollers running with or without a realtime operating system. Our course focus on using the block diagram for algorithms development and the codes would be automatically generated and downloaded into the embedded boards such as Arduino Uno. A mobile robot application would be used for the training for practical hands-on.

Raspberry Pi for the Internet of Things - Updated Outline and Examples!

With the new Raspberry Pi 3 Model B+, "Things" just getting faster! We make Deep Learning Inference running on it!

The Raspberry Pi just getting more and more powerful, and we move further to enhance our training with this new fetures and push the Pi to its' limit!

“A revamped training for the new Raspberry Pi 3 with topics on IoT Platform, and Deep Learning Inference!”

Course Synopsis

The Internet of Things (IoT) is a vision that leads to a smart world with ubiquitous computing and networking, where computers can be embedded everywhere and programmed to act with or without human intervention. IoT has been estimated to impact the global economy of more than $11 trillion by 2025.

This course introduces the Raspberry Pi as a versatile tool for IoT to provide a variety of services for person-to-machine and machine-to-machine interactions. The participants will be introduced to the setting up of the Raspberry Pi, Python programming, general purpose input/output (GPIO) port controlling, employing MQTT as a lightweight IoT protocolas well as building practical IoT applications.

Course Objectives

This course focuses on the theory and hands-on of Python program development for IoT applications on the Raspberry Pi. Upon completing the course, participants would be able to achieve the following learning outcomes: